Daisuke Kondo

2.0k citations
68 papers · 1.6k · h-index 18

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies

Papers in

    • Ion Transport and Channel Regulation 6
    • Peroxisome Proliferator-Activated Receptors 4
    • Renal Diseases and Glomerulopathies 10

Daisuke Kondo

61 papers receiving 1.5k citations

Peers

Daisuke Kondo
Comparison fields: 5 of 122
  • Genetics 227
  • Nephrology 145
  • Physiology 271
  • Molecular Biology 637
  • Gastroenterology 34
Replace Renata Kozyraki with:
Renata Kozyraki France
Bing Chen China
Andong Qiu United States
M. Hüfner Germany
Daine Alcorn Australia
Moo Il Kang South Korea
Noboru Horiuchi Japan
Morten Frost Denmark
Zhengwei Yuan China
Yong Du United States
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Citations per field
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Renata Kozyraki · 1×
Citations per year

Countries citing papers authored by Daisuke Kondo

Since Specialization
Citations

This map shows the geographic impact of Daisuke Kondo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daisuke Kondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Kondo more than expected).

Fields of papers citing papers by Daisuke Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daisuke Kondo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daisuke Kondo. The network helps show where Daisuke Kondo may publish in the future.

Co-authors

The 25 scholars most cited alongside Daisuke Kondo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daisuke Kondo Line = papers co-authored together Daisuke Kondo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007307
2 1999162
3 1997149
4 2004142
5 1998141
6 200141
7 200541
8 201235
9 201534
10 200329
11 200528
12 200925
13 201924
14 200323
15 200922
16 200622
17 200121
18 200018
19 200717
20 201017

About Daisuke Kondo

Daisuke Kondo is a scholar working on Molecular Biology, Nephrology, Physiology, Pulmonary and Respiratory Medicine and Nutrition and Dietetics, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (10 papers), Ion Transport and Channel Regulation (6 papers), Adipose Tissue and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Pain Mechanisms and Treatments (3 papers), Complement system in diseases (3 papers), Regulation of Appetite and Obesity (3 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). The work is most often cited by research in Genetics (227 citations), Nephrology (145 citations), Physiology (271 citations), Molecular Biology (637 citations) and Gastroenterology (34 citations). Daisuke Kondo has collaborated with scholars based in Japan, United States and Finland. Frequent co-authors include Koichiro Kano, Katsutoshi Kawasaki, Itaru Kihara, Haruko Funaki, Yu Koyama, Eishin Yaoita, Yasushi Okazaki, Ken Yagi, Nobuaki Sato and Katsuyoshi Hatakeyama. Their work appears in journals such as Kidney International, BMC Anesthesiology, Biochemical and Biophysical Research Communications, Nephrology and American Journal of Physiology-Cell Physiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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